Ubuntu Native NNStreamer Application Example - Object Detection

This example passes camera video stream to a neural network using tensor_filter. Then the given neural network predicts multiple objects with bounding boxes. The detected boxes are drawen by cairooveray GStreamer plugin.

How to Run

This example requires tflite model, labels and box priors.
The resources can be obtained from this link: https://github.com/nnsuite/testcases/raw/master/DeepLearningModels/tensorflow-lite/ssd_mobilenet_v2_coco
get-model.sh download the required model and other txt data files.

# bash
$ cd $NNST_ROOT/bin
$ ./get-model.sh object-detection-tflite
$ export GST_PLUGIN_PATH=$GST_PLUGIN_PATH:$NNST_ROOT/lib/gstreamer-1.0
$ ./nnstreamer_example_object_detection_tflite

Screenshots